this study has paied to investigation and comparison of content hg in imported rice from indian country and cultivated rice (oryza sativa( in borojerd and isfehan provinces in iran. 30 types of indian imported rice and 5 type iranian rice available in market of iran in 4 repeat from every type. the first step, grains of raw rice were digested by acid digestion method and then were analyzed for ...

Proper models for prediction of time series data can be an advantage in making important decisions. In this study, we tried with the comparison between one of the most useful classic models of economic evaluation, auto-regressive integrated moving average model and one of the most useful artificial intelligence models, adaptive neuro-fuzzy inference system (ANFIS), investigate modeling procedur...

In this paper, we consider the stochastic generating process—one of the key concepts of the Evolving Transformation System model [1]—from the formal perspective. First, we give an informal definition of the generating process supported by some intuitive assumptions and consider several examples. Then, we formally define the concept of the generating process as a continuous parameter (c.p.) Mark...

In the introduction to the first volume of his collected papers Boulding refers to paper No. 9 as, “I think, perhaps I would nominate as my most important contribution to economics (although, again, one to which no one has paid much attention). This note sets out Boulding’s analysis in this paper focusing primarily on the price determination component. It also looks at how his model can readily...

This article details the work undertaken by the National Library of Australia Newspaper Digitisation Program on identifying and testing solutions to improve OCR accuracy in large scale newspaper digitisation programs. In 2007 and 2008 several different solutions were identified, applied and tested on digitised material now available in the Australian Newspapers Digitisation Program beta service...

This paper investigates the evolution of prices and returns in the art market since the middle of the previous century. We first compile a comprehensive list of more than 10,000 artists and then build a dataset that contains information on more than 1.1 million auction sales of paintings, prints, and works on paper. We perform an extensive hedonic regression analysis that includes unique price-...

INTRODUCTION The urgent need for operational research evaluating test performance in a real-world setting has been highlighted. The purpose of this study was therefore to evaluate the performance of MTBDRplus assay. MATERIALS According to the reference method, of the 155 clinical specimens with valid results, 147 were susceptible to rifampicin (RIF) and isoniazid (INH), with 4 being multi-dru...

Domain adaptation algorithms address a key issue in applied machine learning: How can we train a system under a source distribution but achieve high performance under a different target distribution? We tackle this question for divergent distributions where crucial predictive target features may not even have support under the source distribution. In this setting, the key intuition is that that...

abstract nowadays, due to the environmental uncertainty and rapid development of new technologies, economic variables are often predicted by using less data and short-term timeframes. therefore, prediction methods which require fewer amounts of data are needed. auto regressive integrated moving average (arima) model and artificial neural networks (anns) need large amounts of data to achieve acc...